Managing Data and ML Teams to Deliver Value with Delina Ivanova

1

Introduction

00:00 • 2min

2

How Smart Data Can Improve How Businesses Operate

01:41 • 2min

3

How to Use Data and MLOps to Drive Business Value

04:09 • 6min

4

How to Be a Successful Data Science Manager in Your First 30 Days in Office

09:44 • 2min

5

How to Engage Stakeholders in the Project Lifecycle

11:34 • 2min

6

How to Set Goals and KPIs for AI Projects

13:45 • 5min

7

The Importance of a Strong Data Science Background

18:27 • 3min

8

The Most Critical Skills to Have for Effective Leadership and Management of Data Teams

21:36 • 4min

9

The Worst Experience of Managing Data Teams

25:46 • 5min

10

How to Interview a Manager

31:15 • 5min

11

How to Set Up a Good Culture in a Data Team

35:46 • 3min

12

How to Grow a Data Engineering and Machine Learning Company

38:56 • 5min

13

How to Manage a Machine Learning Team

43:39 • 2min

14

How to Stay Technical While Still Managing People and Resources in Your Team

46:08 • 2min

15

How to Be a Successful Data Science Manager

48:01 • 2min

16

How to Be a Better Leader in Data Science

50:26 • 2min

17

What Does GPT3 Mean for the Future of Mlops?

52:53 • 2min